The identification of ecological sources serves as the foundation for constructing ecological security patterns. Although previous studies have introduced species suitability data predicted by MaxEnt models into ecological source identification, there remains a lack of systematic quantitative research on its specific effectiveness and impacts on ecological security patterns. This study selects China"s Hengduan Mountain Region as the research area, employing both the Ecosystem Service Identification Method (EESI) and the Adaptive Source Identification Method (IAS) to construct ecological security patterns and evaluate the role of species suitability data in optimizing ecological source identification. The results demonstrated that IAS effectively identified key habitat areas such as the Zoige Wetland Nature Reserve and Baima Snow Mountain Nature Reserve. The average patch size of ecological sources increased from 168.76km2 to 390.18km2, while the largest patch index rose from 1.22 to 2.17, indicating significant improvements in the connectivity of ecological sources and the concentration of core areas. This study provides a reference for assessing the contributions of different ecological source identification methods and optimizing ecological security pattern construction.